Current Master's - Data Science Internship - Summer 2025. If you're interested in a long-term career at Capital One, the Data Science internship could be a great way to begin your career journey.

10 years of experience in data engineering, data architecture, BI & Analytics, and/or Data Science. Execute the HW Analytics Strategy that includes building a modern Unified Data Warehouse, expanded Self-Service, and Data Science capabilities.

Master’s degree in computer science, Computational Linguistics, or related field preferred. Bachelor’s degree in computer science, Computational Linguistics, or related field plus 1-3 years’ professional experience.

Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Research Specialist University Job Title: Data Scientist Preferred Education, Experience and Skills: Ph. D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields.

The PositionThe Science Engagement Division at the Adler Planetarium (Adler) is seeking candidates for a Postdoctoral Fellowship position in the field of Data Science, with an emphasis on Remote Sensing and Geospatial Analysis.

Data Internship We offer internships in different data roles including: Data Analyst Intern Data Scientist Intern Business Analytics Your Experience and Qualifications Current student enrolled in an accredited 4-year college or university in Data Science, Information Management, Computer Science, Computer Engineering, or a related field.

Requires an MPH, MBA, MS, MA, RN, or RHIA in health science, quantitative social science, public health, health services research or business, or BA/BS with demonstrated equivalent work experience.

Biology, Biochemistry, Cardiac Function & Interventional Technology, Chemistry: Polymers/Materials Science, Computer Science, Engineering: Aerospace, Biomedical, Computer Science, Chemical, Electrical, Materials Science/Polymers, Mechanical, General Engineering, Health Sciences, Kinesiology, Informatics and/or Data Science, Pharmaceutical Science, Physics, Technical Design: Industrial Design/Product Design.

Bachelor's degree (or foreign education equivalent) in Computer Science, Computer Information Systems, Computer Information Systems and Information Technology, Engineering, Information Technology, Mathematics, Physics or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) performing Informatica ETL and Oracle database development to support HR data engineering capabilities in a financial services environment.

5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.

We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network). , statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering.

We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.

Qualifications: Education: A bachelor’s or master’s degree in computer science, data science, statistics, operations research, or a related field. Support educational and training initiatives related to AI and data science within NATO. Data Engineering: Develop and maintain robust data pipelines and architectures to ensure data quality and availability for analysis.

Preferred Qualifications: Master's degree in data science Knowledge of relational databases such as MySQL , snowflake and BigQuery. Basic Requirements: Bachelor's degree in computer science, Data Science or related technical field 10 years of technical experience doing data science in a Telecommunications company 5 years of experience performing data science and programming 5 years of experience using AWS Cloud technology 5 years of experience programming using C/C.

Responsibilities:Enterprise Data Engineering Delivery:Oversee the design, development, and management of scalable and reliable data engineering solutions that support data products deployment for use in advanced analytics, data science, and AI initiatives.